Table 3 The specific classification tasks
Classification Task | Case Number | Dataset | Lable |
|---|---|---|---|
Healthy Vs. Epileptic | Case1 | Bonn (A-E) | Datasets A, B, C, and D are labeled as 0, dataset E is labeled as 1 |
Case2 | Bonn (B-E) | ||
Interictal Vs. Ictal | Case3 | Bonn (C-E) | |
Case4 | Bonn (D-E) | ||
Healthy Vs. Epileptic | Case5 | Bonn (AB-E) | |
Nonictal Vs. Ictal | Case6 | Bonn (AC-E) | |
Case7 | Bonn (AD-E) | ||
Case8 | Bonn (BC-E) | ||
Case9 | Bonn (BD-E) | ||
Interictal Vs. Ictal | Case10 | Bonn (CD-E) | |
Nonictal Vs. Ictal | Case11 | Bonn (ABC-E) | |
Case12 | Bonn (ABD-E) | ||
Case13 | Bonn (ACD-E) | ||
Case14 | Bonn (BCD-E) | ||
Case15 | Bonn (ABCD-E) | ||
Interictal Vs. Ictal | Case16 | New Delhi (Interictal-Ictal) | The dataset of Preictal and Interictal are labeled as 0, and the dataset of Ictal is labeled as 1 |
Preictal Vs. Ictal | Case17 | New Delhi (Preictal-Ictal) | |
Nonictal Vs. Ictal | Case18 | New Delhi (Nonictal-Ictal) |